Depression Research and Treatment最新文献

Background: People with depression are at increased risk for comorbidities; however, the clustering of comorbidity patterns in these patients is still unclear.

Objective: The aim of the study was to identify latent comorbidity patterns and explore the comorbidity network structure that included 12 chronic conditions in adults diagnosed with depressive disorder.

Methods: A cross-sectional study was conducted based on secondary data from the 2017 behavioral risk factor surveillance system (BRFSS) covering all 50 American states. A sample of 89,209 U.S. participants, 29,079 men and 60,063 women aged 18 years or older, was considered using exploratory graphical analysis (EGA), a statistical graphical model that includes algorithms for grouping and factoring variables in a multivariate system of network relationships.

Results: The EGA findings show that the network presents 3 latent comorbidity patterns, i.e., that comorbidities are grouped into 3 factors. The first group was composed of 7 comorbidities (obesity, cancer, high blood pressure, high blood cholesterol, arthritis, kidney disease, and diabetes). The second pattern of latent comorbidity included the diagnosis of asthma and respiratory diseases. The last factor grouped 3 conditions (heart attack, coronary heart disease, and stroke). Hypertension reported higher measures of network centrality.

Conclusion: Associations between chronic conditions were reported; furthermore, they were grouped into 3 latent dimensions of comorbidity and reported network factor loadings. The implementation of care and treatment guidelines and protocols for patients with depressive symptomatology and multimorbidity is suggested.

Background: Depression is a psychiatric disorder that is characterized by persistent sadness and a lack of interest or pleasure in previously rewarding and enjoyable activities. It is one of the leading mental disorders among prisoners worldwide. However, little attention is given to this condition, especially in developing countries. Hence, this study was aimed at assessing the prevalence of depression and its associated factors among prisoners in North Wollo Zone Correctional Institutions, Ethiopia.

Methods: A cross-sectional study was carried out among 407 prisoners from November 20 to December 20, 2020. A simple random sampling technique was employed to select the study participants, and the Patient Health Questionnaire-9 (PHQ-9) was utilized to measure the prevalence of depression among prisoners. Data analyses were done using SPSS version 20 software program. Descriptive and inferential statistics including bivariate and multivariable regression analyses were run to assess the association between depression and the independent variables, and a p value of less than 0.05 was taken to declare statistically significant values.

Results: A total of 407 prisoners participated in the study, making the response rate 96.9%. The mean age of the participants was 31.7 ± 12.83. Forty-one percent of them were between the ages of 18 and 27 years. In this study, the prevalence of depression was 55.5%. Age 38-47 (AOR = 4.29; 95%CI = 1.51, 12.20), having children (AOR = 2.75; 95%CI = 1.40, 5.42), sentences for 5-10 years and over 10 years (AOR = 6.26; 95%CI = 3.19, 12.30 and AOR = 7.71; 95%CI = 3.47, 17.17, respectively), having a history of mental illness (AOR = 5.22; 95%CI = 2.39, 11.36), having two or more stressful life events (AOR = 6.61; 95%CI = 2.73, 15.96), and poor social support (AOR = 8.13; 95%CI = 3.43, 19.27) were significantly associated with depression.

Conclusions: In this study, more than half of the study participants were found having depression which is relatively higher compared with other previous studies across the globe. Moreover, different variables including the inmate's age of 38-47 years, having children, a sentence of 5-10 and over 10 years, history of mental illness, having two or more stressful life events, and poor social support were factors significantly associated with depression. Thus, awareness creation for police officers and prison managers about depression screening in prison and treatment programs including psychological counseling and cognitive behavioral therapy for prisoners are recommended.

Social media use has been linked to adverse health outcomes such as depression. To facilitate interventions, understanding the varied causes of depression is necessary. The authors developed a social media-induced depression tendency (SMIDT) scale for use with young people and aimed to validate it for young people in Nigeria. The study was conducted in three parts using an online survey (Google Forms) with purposive sampling targeting young people. Study 1 was an exploratory study that developed the SMIDT scale with 361 young people aged 16 to 26 years (mean age = 22.81). A concise measure of SMIDT was obtained. In study 2, confirmatory factor analysis was performed on the SMIDT with young people aged 17 to 25 years (mean age = 23.61). Construct, discriminant, and concurrent validities were established, and three factors were identified (sensitivity/attention seeking, worthlessness, and escapism/reality avoidance), which explained 55.87% of the variance. Study 3 tested the predictive validity of the scale. The results showed that the 15-item SMIDT scale had high internal consistency and satisfactory validity. The SMIDT scale can enable the assessment of factors associated with social media-induced depression tendency. The three factors identified in the scale provide insight into the factors contributing to depression associated with social media use. The SMIDT scale has the potential to help identify at-risk individuals and in-developing interventions to prevent or reduce social media-induced depression tendencies. However, this study only focused on young people in Nigeria. Additional studies using the SMIDT scale are required to assess its generalizability and applicability in evaluating other factors, such as quality of life among young people. Moreover, while social media use has been associated with adverse health outcomes, it is crucial to recognize that it can also positively affect mental health. Further research is necessary to explore the complex relationships between social media use and mental health outcomes.

Background: Antenatal depression (AND) is a common mood disorder that affects both the mother and the child.

Objective: The current study is aimed at identifying the prevalence of antenatal depression and the risk factors associated with it in South Indian pregnant women.

Materials and methods: The current study was carried out in a tertiary care teaching hospital where pregnancy and postnatal care are offered. In the study, 314 pregnant women who visited the antenatal clinic for their prenatal checkups were included. To diagnose possible depression, Edinburgh Postnatal Depression Scale (EPDS) was used. The chi-square test was applied to determine the association between antenatal depression and various socioeconomic, obstetric, and medical factors. A logistic regression analysis was performed to identify significant confounding variables.

Results: Of the total 314 women, 69 (21.98%) were suffering from possible depression with the mean EPDS score being 10.61 ± 7.48. Women of younger age had greater risks for depression than older women (AOR = 2.01; 95% CI: 0.56-7.20). Maternal age (χ ² = 0.013, p = 0.009) and the presence of health issues during the current pregnancy (χ ² = 5.18, p = 0.023) were the factors significantly associated with antenatal depression.

Conclusions: Clinical efforts should focus on screening antenatal depression, early identification, and effective care, thus preventing progression to postpartum depression and its detrimental effects.

Background: Pregnancy-related anxiety has been associated with many pregnancy adverse outcomes including preterm birth, low birth weight, postpartum depression, and resulting in long-term sequels on the child's emotional, cognitive, and behavioral development. This study is aimed at assessing the magnitude of pregnancy-related anxiety and associated factors among pregnant women attending antenatal checkup at Debre Markos town public health institutions, Northwest Ethiopia.

Methods: An institution-based cross-sectional study was conducted among 423 pregnant women at Debre Markos town, Northwest Ethiopia, from February 1^st to March 30^th, 2021. A systematic random sampling technique was used to select the study participants. Data were collected sing a structured, pretested, and interviewer-administered questionnaire. The collected data were entered with Epi-data version 4.6 and then exported to SPSS version 23. Both bivariable and multivariable logistic regression analyses were undertaken to identify significantly associated variables with pregnancy-related anxiety. The adjusted odds ratio (AOR) with its 95% confidence interval (CI) at a p value of ≤0.05 was used to claim statistical association.

Result: In this study, a total of 408 pregnant women participated, giving a 96.4% response rate. The prevalence of pregnancy-related anxiety was found to be 43.9% (95% CI: 39.5, 49.2). Having no formal education (AOR = 3.37; 95% CI: 1.32, 8.58), primigravida (AOR = 1.94; 95% CI: 1.17, 3.24), intimate partner violence (AOR = 2.88; 95% CI: 1.47, 5.64), and poor social support (AOR = 2.05; 95% CI: 1.18, 3.56) was significantly associated with pregnancy-related anxiety.

Conclusion: In this study, the prevalence of pregnancy-related anxiety was found to be high when compared to other study findings. The regional educational department should give emphasis for gender pedagogies which pay attention to the specific learning needs of girls. In addition, interventions on violence against women and social support for the women may reduce the problem.

Global rates of depression have increased significantly since the beginning of the COVID-19 pandemic. It is unclear how the recent shift of many mental health services to virtual platforms has impacted service users, especially for the male population which are significantly more likely to complete suicide than women. This paper presents the findings of a rapid meta-analytic research synthesis of 17 randomized controlled trials on the relative efficacy of virtual versus traditional face-to-face cognitive behavioral therapy (CBT) in mitigating symptoms of depression. Participants' aggregated depression scores were compared upon completion of the therapy (posttest) and longest follow-up measurement. The results supported the noninferiority hypothesis indicating that the two modes of CBT delivery are equally efficacious, but the results proved to be significantly heterogeneous indicating the presence of moderating effects. Indirect suggestive evidence was found to support moderation by gender; that is, depressed males may benefit more from virtual CBT. Perhaps, this field's most telling descriptive finding was that boys/men have been grossly underrepresented in its trials. Future trials ought to oversample those who have been at this field's margins to advance the next generation of knowledge, allowing us to best serve people of all genders, those who live in poverty, Indigenous, Black, and other Peoples of Colour, as well as any others at risk of being marginalized or oppressed in contemporary mental health care systems.

Purpose: Oxytocin has been suggested to play a vital role in modulating maternal behavior and stress-related disorders. However, the relationship between antenatal oxytocin and postpartum depression is not well established. We aim to investigate the association between serum oxytocin level in the late third-trimester and early-onset postpartum depression symptoms.

Materials and methods: A total of 172 healthy pregnant women participated in this cross-sectional descriptive study. The serum oxytocin level was measured between 34 and 37 weeks. A validated Edinburgh Postnatal Depression Scale (EPDS) was used to assess symptoms of depression four to six weeks postpartum. Participants who scored more than 12 on the EPDS were considered having depressive symptoms. Independent sample t-test and Pearson r were used to examine differences in depression scores. The level of significance was set at α = 0.05.

Results: 30.8% of the participants experienced depressive symptoms. There was no association between EPDS scores and oxytocin level r(170) = 0.10, p = 0.23. The association also did not exist even among women with a lifetime history of depression r(43) = -0.13, p = 0.37. Participants with low education, low income, previous history of depression, positive family history of depression, positive family issues, and absent emotional family support have scored significantly higher on EPDS scores than their counterparts. The strongest association was with previous lifetime history of depression t(170) = -4.40, p < 0.001.

Conclusions: Postpartum depression is a major public health problem in Jordan. Late trimester serum oxytocin level has no association with early-onset postpartum depression.

It is well known that student burnout is a serious mental health problem, caused by chronic stress related to the educational area. However, in the COVID 19 pandemic, young people have to struggle with additional threats that affect their overall functioning and perception of the world. The main purpose of this study was to investigate the mediating effects of existential anxiety and academic fears on the relationship between academic burnout and posttraumatic stress disorder symptoms. The findings confirmed that academic burnout, existential anxiety, and academic fear were significantly associated with higher posttraumatic symptoms. Existential anxiety and academic fear played a mediating role in the association between academic burnout and posttraumatic stress disorder symptoms. In conclusion, it is considered that student burnout and anxiety indicators are important risk factors for the trauma experienced by students and may increase its symptoms.